Generative AI Course for Business Analyst - Online Classroom

Generative AI Course for Business Analyst - Online Classroom

Become an AI‑Powered Business Analysis Professional

Step into the future of business analysis with the Generative AI for Business Analysts course. A practical, hands‑on training designed to help analysts leverage Generative AI to transform core responsibilities and boost strategic value. Whether you're a Business Analyst, Project Manager, Product Owner, or Consultant, this course equips you with AI skills that extend traditional analysis, enhance decision‑making, and accelerate career growth.

In today’s data‑driven world, Business Analysts must do more than document requirements — they must extract insights, automate repetitive tasks, and influence strategic decisions. This course empowers you to apply AI for stakeholder communication, requirement analysis, risk assessment, reporting, and solution optimization, making you a high‑value contributor to modern business outcomes

This immersive program blends live expert‑led sessions, real‑world use cases, and practical exercises so you can apply AI across the full business analysis lifecycle — from requirement gathering to solution evaluation. With a curriculum aligned to industry standards like BABOK® and the Business Analysis Core Concept Model, you’ll gain actionable skills that drive real impact.

Key Features

• Course and material in English
• Beginner-Intermediate level
• 16 Hours of Instructor-Led Training 
• 20+ hours recommended study time 
• Engage in 27+ Hands-On Exercises with AI Tools
• Work on 4 Live Real-World Projects
• Learn by Doing and Work with 18 Advanced AI Tools
• Course and Training Mapped to BABOK® Knowledge Areas
• Learn to Utilize 200+ Ready-to-Use AI Prompts
• Earn 16 PDUs and 16 SEUs on Course Completion
• Program completion certification included

Please contact us to confirm the dates & schedule first before making your booking

Learning Outcomes

• Requirement Elicitation & Documentation
  Use AI tools like GPT, Claude, and Notion AI to automate requirement gathering, refine elicitation, and produce accurate, project-ready documentation.
• Stakeholder Communication & Engagement
  Leverage AI for personalized communication, meeting summaries, and sentiment analysis to improve collaboration and align stakeholders.
• Data Analysis & Reporting
  Employ AI-powered analytics tools (Power BI, Tableau, Zoho Analytics) to identify patterns, generate visual reports, and support informed decisions.
• Process Modeling & Solution Design
  Use AI tools such as Lucidchart AI, Miro AI, and SmartDraw AI to model processes, validate solutions, and simulate scenarios that meet business goals.
• Risk Assessment & Mitigation
  Automate risk identification, assessment, prioritization, and mitigation recommendations using AI-driven tools.
• Documentation & Traceability
  Implement AI solutions (Monday.com, ClickUp) to maintain traceability matrices, streamline documentation, and align artifacts with requirements.
• Productivity Enhancement
  Automate repetitive BA tasks like meeting notes, charters, and performance reports with tools like Otter.ai and ChatGPT for faster turnaround.
• Impact Analysis & Decision Support
  Leverage AI for advanced impact assessments, scenario evaluation, and providing data-backed strategic recommendations.
• Quality Assurance for Requirements
  Validate requirements using AI, ensuring alignment with business objectives and delivering high-quality outputs.
• Emerging AI Trends
  Stay updated on the latest AI innovations in business analysis, Agile, and BI processes, identifying opportunities to integrate AI into workflows.

Target Audience

• Business Analysts looking to automate tasks, improve documentation, and streamline stakeholder communication.
• Product Owners / Product Managers seeking to use AI for requirements management, process modeling, and impact analysis.
• Data Analysts & BI Professionals interested in applying AI to reporting, dashboards, and decision-making insights.
• Project Managers who want to optimize risk assessment, traceability, and productivity using AI tools.
• Agile Practitioners / Scrum Masters aiming to integrate AI into Agile workflows for planning, reporting, and collaboration.
• Professionals curious about emerging AI trends and how generative AI can improve efficiency, quality, and strategic decision-making in enterprise projects.

Prerequisites

• Excellent communication and analytical abilities are important.
• Understanding of Business Analysis frameworks is recommended.
• Basic knowledge of project management concepts is advantageous.
• Familiarity with BABOK-aligned practices is a plus.
• Experience using BA tools, documentation, and visualization aids learning.
• A foundational understanding of AI concepts will enhance your experience.
• Prior experience in Business Analysis is helpful but not required.
• A strong interest in leveraging AI for business optimization is encouraged.

Course Content

1. Introduction to Generative AI in Business Analysis

• Overview of generative AI concepts (LLMs, transformers, prompting)
• Relevance of AI to business analysis
• Mapping AI capabilities to core BA frameworks like BABOK and BACCM

1. Business Analysis Planning and Monitoring with AI

• AI‑assisted planning and prompt engineering strategies
• Using AI for stakeholder engagement and performance improvement insights
• Governance and information management with AI support

1. Elicitation and Collaboration Enhanced by AI

• Preparing and conducting elicitation activities using AI
• Improving stakeholder communication and feedback loops
• Evaluating prompts for relevance and accuracy

1. Requirements Life Cycle Management with AI

• Maintaining traceability and managing changes with AI
• Prioritizing requirements using AI‑driven insights
• Conducting change impact analysis with AI tools

1. Strategy Analysis Using Generative AI

• Current and future state analysis
• AI‑enabled change strategy formulation and risk assessment
• Leveraging AI for opportunity evaluation

1. Requirements Analysis and Design Definition (RADD)

• AI‑powered verification, validation, and requirements analysis
• Designing requirement architectures and solution value assessments

1. Solution Evaluation with AI

• Using AI for performance metric evaluation
• Identifying solution limitations and optimizing value delivery

1. AI‑Driven Monitoring and Metrics

• Real‑time project performance tracking with AI analytics
• Creating dashboards and reports for stakeholders with AI support

1. Techniques and Competencies for Business Analysts

• Advanced BA techniques like decision modeling and prototyping enhanced with AI
• Strengthening analytical thinking, communication, and stakeholder management

1. Future Trends and AI Perspectives

• Emerging AI trends in business analysis
• AI’s role in Agile and business intelligence contexts
• Opportunities for future AI integration in BA workflows

FAQ

What Will I Achieve After Completing the Course?

This course equips you to leverage AI for automating documentation, enhancing elicitation, analyzing and refining requirements, prioritizing tasks, and evaluating business solutions. Hands-on exercises with tools like ChatGPT, Lucidchart AI, Notion AI, and Gemini ensure practical learning aligned with BABOK and BACCM standards.

By completing this program, you’ll be able to:

• Transform workflows using advanced AI tools
• Drive strategic, data-backed business outcomes
• Align your skills with CBAP, CCBA, and ECBA certification standards

What practical skills can I expect to have?

This comprehensive, ten-module course provides hands-on experience with over 20 AI tools—including ChatGPT, Mural, Claude, Napkin, and MindMeister—designed to enhance every stage of business analysis. By the end of the training, you will be able to:

• Apply AI-driven solutions to boost accuracy, productivity, and performance
• Automate documentation, refine elicitation, analyze requirements, prioritize tasks, and evaluate business solutions
• Use AI for planning, monitoring, collaboration, and requirements analysis
• Leverage performance metrics to assess solutions, uncover gaps, and drive continuous improvements